Numerical Polynomial Algebra

Part II: Univariate Polynomial Problems

Chapter List

Chapter 5: Univariate Polynomials
Chapter 6: Various Tasks with Empirical Univariate Polynomials

Overview

We consider univariate polynomials


cf. (1.3) and Definition 1.4. Only when we explicitly say so, we assume p( x; a) to be monic, i.e. to have ? n = 1. In the data space , our standard norm ..* is a weighted maximum norm; cf. section 3.1.1.

Intrinsic univariate polynomials (whose coefficients are assumed as exact; cf. Definition 3.1) have been an object of mathematical investigation for centuries; their analytic and algebraic properties are well known, and even their numerical analysis is rather complete. We only recall some basic facts about such polynomials in the following section; then we devote our attention to aspects which come to light when some or all of the coefficients are empirical.

5.1 Intrinsic Polynomials

5.1.1 Some Analytic Properties

From the analytic point of view, univariate polynomials with real or complex coefficients are uniformly analytic or holomorphic functions from , where-as agreed in section 1.2- denotes the affine complex plane, i.e. : They are holomorphic in each point of ; cf. Proposition 1.4. For is the zero polynomial, and the Taylor expansion of p at any is finite and at most of length n. Even if p( x; a) has real coefficients, it is often helpful to regard it as a function from

Since , there are at most n ? 1 points ? ?

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